Response Predictivity to Neoadjuvant Therapies in Breast Cancer: A Qualitative Analysis of Background Parenchymal Enhancement in DCE-MRI.

background parenchymal enhancement breast MRI breast cancer fibro glandular tissue neoadjuvant chemotherapy

Journal

Journal of personalized medicine
ISSN: 2075-4426
Titre abrégé: J Pers Med
Pays: Switzerland
ID NLM: 101602269

Informations de publication

Date de publication:
01 Apr 2021
Historique:
received: 04 02 2021
revised: 23 03 2021
accepted: 23 03 2021
entrez: 30 4 2021
pubmed: 1 5 2021
medline: 1 5 2021
Statut: epublish

Résumé

For assessing the predictability of oncology neoadjuvant therapy results, the background parenchymal enhancement (BPE) parameter in breast magnetic resonance imaging (MRI) has acquired increased interest. This work aims to qualitatively evaluate the BPE parameter as a potential predictive marker for neoadjuvant therapy. Three radiologists examined, in triple-blind modality, the MRIs of 80 patients performed before the start of chemotherapy, after three months from the start of treatment, and after surgery. They identified the portion of fibroglandular tissue (FGT) and BPE of the contralateral breast to the tumor in the basal control pre-treatment (baseline). We observed a reduction of BPE classes in serial MRI checks performed during neoadjuvant therapy, as compared to baseline pre-treatment conditions, in 61.3% of patients in the intermediate step, and in 86.7% of patients in the final step. BPE reduction was significantly associated with sequential anthracyclines/taxane administration in the first cycle of neoadjuvant therapy compared to anti-HER2 containing therapies. The therapy response was also significantly related to tumor size. There were no associations with menopausal status, fibroglandular tissue (FGT) amount, age, BPE baseline, BPE in intermediate, and in the final MRI step. The measured variability of this parameter during therapy could predict therapy effectiveness in early stages, improving decision-making in the perspective of personalized medicine. Our preliminary results suggest that BPE may represent a predictive factor in response to neoadjuvant therapy in breast cancer, warranting future investigations in conjunction with radiomics.

Sections du résumé

BACKGROUND BACKGROUND
For assessing the predictability of oncology neoadjuvant therapy results, the background parenchymal enhancement (BPE) parameter in breast magnetic resonance imaging (MRI) has acquired increased interest. This work aims to qualitatively evaluate the BPE parameter as a potential predictive marker for neoadjuvant therapy.
METHOD METHODS
Three radiologists examined, in triple-blind modality, the MRIs of 80 patients performed before the start of chemotherapy, after three months from the start of treatment, and after surgery. They identified the portion of fibroglandular tissue (FGT) and BPE of the contralateral breast to the tumor in the basal control pre-treatment (baseline).
RESULTS RESULTS
We observed a reduction of BPE classes in serial MRI checks performed during neoadjuvant therapy, as compared to baseline pre-treatment conditions, in 61.3% of patients in the intermediate step, and in 86.7% of patients in the final step. BPE reduction was significantly associated with sequential anthracyclines/taxane administration in the first cycle of neoadjuvant therapy compared to anti-HER2 containing therapies. The therapy response was also significantly related to tumor size. There were no associations with menopausal status, fibroglandular tissue (FGT) amount, age, BPE baseline, BPE in intermediate, and in the final MRI step.
CONCLUSIONS CONCLUSIONS
The measured variability of this parameter during therapy could predict therapy effectiveness in early stages, improving decision-making in the perspective of personalized medicine. Our preliminary results suggest that BPE may represent a predictive factor in response to neoadjuvant therapy in breast cancer, warranting future investigations in conjunction with radiomics.

Identifiants

pubmed: 33915842
pii: jpm11040256
doi: 10.3390/jpm11040256
pmc: PMC8065517
pii:
doi:

Types de publication

Journal Article

Langues

eng

Références

Eur Radiol. 2012 Dec;22(12):2641-7
pubmed: 22752463
Magn Reson Imaging. 2016 Feb;34(2):173-6
pubmed: 26597834
Biomed Res Int. 2018 May 16;2018:9032408
pubmed: 30140703
J Breast Imaging. 2020 Aug;2(4):352-360
pubmed: 32803155
Diagnostics (Basel). 2020 Sep 17;10(9):
pubmed: 32957690
Int J Cancer. 2018 Aug 15;143(4):823-830
pubmed: 29524207
PLoS One. 2015 Nov 24;10(11):e0143308
pubmed: 26600392
Radiology. 2015 Aug;276(2):371-80
pubmed: 25965809
Ann Oncol. 2013 Nov;24 Suppl 8:viii37-viii41
pubmed: 24131968
Radiol Bras. 2020 Mar-Apr;53(2):95-104
pubmed: 32336824
J Clin Oncol. 2019 Apr 20;37(12):954-963
pubmed: 30625040
Transl Oncol. 2015 Jun;8(3):204-9
pubmed: 26055178
Clin Imaging. 2018 Sep - Oct;51:307-310
pubmed: 29945057
Diagn Interv Imaging. 2020 Oct;101(10):649-655
pubmed: 32654985
Eur J Cancer. 2009 Jan;45(2):228-47
pubmed: 19097774
Radiology. 2014 Mar;270(3):699-707
pubmed: 24126372
J Comput Assist Tomogr. 2019 Jan/Feb;43(1):85-92
pubmed: 30052617
Eur J Radiol. 2018 Nov;108:261-268
pubmed: 30396666
Medicine (Baltimore). 2016 Mar;95(9):e3000
pubmed: 26945421
Eur J Radiol. 2017 Sep;94:140-147
pubmed: 28712700
Ann Oncol. 2013 Sep;24(9):2206-23
pubmed: 23917950
J Clin Oncol. 2013 Nov 1;31(31):3997-4013
pubmed: 24101045
Breast Cancer Res. 2017 Sep 11;19(1):106
pubmed: 28893303
J Clin Oncol. 2018 Jul 10;36(20):2105-2122
pubmed: 29846122
Acta Radiol. 2018 Jul;59(7):806-812
pubmed: 29065702
Sci Rep. 2019 Dec 16;9(1):19185
pubmed: 31844135
Eur Radiol. 2016 Jun;26(6):1590-6
pubmed: 26382845
AJR Am J Roentgenol. 2014 Jul;203(1):209-15
pubmed: 24951217
Br J Radiol. 2017 Feb;90(1070):20160542
pubmed: 27925480
Oncotarget. 2017 Feb 7;8(6):10620-10627
pubmed: 27895314
Eur Radiol. 2014 Jan;24(1):162-8
pubmed: 23982290
Asian Pac J Cancer Prev. 2014;15(7):2939-43
pubmed: 24815428
Radiographics. 2014 Jan-Feb;34(1):234-47
pubmed: 24428293
Tomography. 2020 Jun;6(2):101-110
pubmed: 32548286
Sci Rep. 2017 May 18;7(1):2115
pubmed: 28522877
Br J Radiol. 2018 Jul;91(1088):20170550
pubmed: 29848015
Transl Oncol. 2017 Oct;10(5):786-792
pubmed: 28806712
Biomed Res Int. 2017;2017:4845909
pubmed: 28812015
J Magn Reson Imaging. 2018 Jun;47(6):1685-1691
pubmed: 29140576
Diagn Interv Imaging. 2018 Dec;99(12):815-826
pubmed: 30249463
Eur J Radiol. 2019 Apr;113:148-152
pubmed: 30927939

Auteurs

Daniele La Forgia (D)

Struttura Semplice Dipartimentale di Radiodiagnostica Senologica, I.R.C.C.S. Istituto Tumori "Giovanni Paolo II", Viale Orazio Flacco 65, 70124 Bari, Italy.

Angela Vestito (A)

Unità Operativa Complessa di Radiologia-Senologia-P.O. San Paolo-ASL Bari, Via Caposcardicchio, 70123 Bari, Italy.

Maurilia Lasciarrea (M)

Unità Operativa Complessa di Radiologia-Senologia-P.O. San Paolo-ASL Bari, Via Caposcardicchio, 70123 Bari, Italy.

Maria Colomba Comes (MC)

Struttura Semplice Dipartimentale di Fisica Sanitaria, I.R.C.C.S. Istituto Tumori "Giovanni Paolo II", Viale Orazio Flacco 65, 70124 Bari, Italy.

Sergio Diotaiuti (S)

Struttura Semplice Dipartimentale di Chirurgia Senologica, I.R.C.C.S. Istituto Tumori "Giovanni Paolo II", Viale Orazio Flacco 65, 70124 Bari, Italy.

Francesco Giotta (F)

Unità Operativa Complessa di Oncologia Medica, I.R.C.C.S. Istituto Tumori "Giovanni Paolo II", Viale Orazio Flacco 65, 70124 Bari, Italy.

Agnese Latorre (A)

Unità Operativa Complessa di Oncologia Medica, I.R.C.C.S. Istituto Tumori "Giovanni Paolo II", Viale Orazio Flacco 65, 70124 Bari, Italy.

Vito Lorusso (V)

Unità Operativa Complessa di Oncologia Medica, I.R.C.C.S. Istituto Tumori "Giovanni Paolo II", Viale Orazio Flacco 65, 70124 Bari, Italy.

Raffaella Massafra (R)

Struttura Semplice Dipartimentale di Fisica Sanitaria, I.R.C.C.S. Istituto Tumori "Giovanni Paolo II", Viale Orazio Flacco 65, 70124 Bari, Italy.

Gennaro Palmiotti (G)

Struttura Semplice Dipartimentale di Oncologia Medica per la Presa in Carico Globale del Paziente Oncologico "Don Tonino Bello", I.R.C.C.S. Istituto Tumori "Giovanni Paolo II", Viale Orazio Flacco 65, 70124 Bari, Italy.

Lucia Rinaldi (L)

Struttura Semplice Dipartimentale di Oncologia Medica per la Presa in Carico Globale del Paziente Oncologico "Don Tonino Bello", I.R.C.C.S. Istituto Tumori "Giovanni Paolo II", Viale Orazio Flacco 65, 70124 Bari, Italy.

Rahel Signorile (R)

Dipartimento di Chimica, Università degli Studi di Bari "Aldo Moro", Via E. Orabona 4, 70125 Bari, Italy.

Gianluca Gatta (G)

Department of Precision Medicine, University of Campania "Luigi Vanvitelli", 81100 Naples, Italy.

Annarita Fanizzi (A)

Struttura Semplice Dipartimentale di Fisica Sanitaria, I.R.C.C.S. Istituto Tumori "Giovanni Paolo II", Viale Orazio Flacco 65, 70124 Bari, Italy.

Classifications MeSH